Make docblocks for Gluon BatchNorm and SyncBatchNorm consistent with …

…the code (apache#14840) * doc fix * trigger ci
access2rohit · May 14, 2019 · 6ce6adc · 6ce6adc
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commit 6ce6adc
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Showing 2 changed files with 8 additions and 8 deletions.
diff --git a/python/mxnet/gluon/contrib/nn/basic_layers.py b/python/mxnet/gluon/contrib/nn/basic_layers.py
@@ -199,10 +199,10 @@ class SyncBatchNorm(BatchNorm):
         Initializer for the beta weight.
     gamma_initializer: str or `Initializer`, default 'ones'
         Initializer for the gamma weight.
-    moving_mean_initializer: str or `Initializer`, default 'zeros'
-        Initializer for the moving mean.
-    moving_variance_initializer: str or `Initializer`, default 'ones'
-        Initializer for the moving variance.
+    running_mean_initializer: str or `Initializer`, default 'zeros'
+        Initializer for the running mean.
+    running_variance_initializer: str or `Initializer`, default 'ones'
+        Initializer for the running variance.
 
 
     Inputs:

diff --git a/python/mxnet/gluon/nn/basic_layers.py b/python/mxnet/gluon/nn/basic_layers.py
@@ -305,10 +305,10 @@ class BatchNorm(HybridBlock):
         Initializer for the beta weight.
     gamma_initializer: str or `Initializer`, default 'ones'
         Initializer for the gamma weight.
-    moving_mean_initializer: str or `Initializer`, default 'zeros'
-        Initializer for the moving mean.
-    moving_variance_initializer: str or `Initializer`, default 'ones'
-        Initializer for the moving variance.
+    running_mean_initializer: str or `Initializer`, default 'zeros'
+        Initializer for the running mean.
+    running_variance_initializer: str or `Initializer`, default 'ones'
+        Initializer for the running variance.
     in_channels : int, default 0
         Number of channels (feature maps) in input data. If not specified,
         initialization will be deferred to the first time `forward` is called